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boundaries and towards circularity, resource efficiency and net positivity. In this fully funded PhD position, which is part of the Formas-financed project “FRESH: Future REgenerative production
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date of the PhD position. Applicants should further possess: Strong quantitative and/or computational skills, including programming and data management. Demonstrated knowledge of social science within
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
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This PhD project focuses on advancing network security in the emerging Web3 ecosystem. As decentralized applications built on blockchain and distributed ledger technologies become more widespread
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at the Department of Forest Mycology and Plant Pathology at SLU in Uppsala. The PhD student will have a permanent position with the company Sveaskog. The doctoral student supervisory team will include Anders Dahlberg
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trials with prototype vehicles and human drivers. The position will include some travel to project partners and test tracks. Who we are looking for: To qualify as a PhD student, you must have a Master's
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experts in the field of protein engineering, protein production, affinity ligand design and characterization, and machine learning for protein design. This unique PhD position is a 4-year collaborative
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Swedish. Place of work You will be based primarily at SLU in Umeå but will spend one fifth of your time at Skogforsk, primarily in Uppsala. Forms for funding or employment PhD position at SLU with 80% study